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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 26 Feb 2008 07:01:37 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Feb/26/t120403460767y21kkhcas5qb2.htm/, Retrieved Sun, 31 May 2026 22:43:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9138, Retrieved Sun, 31 May 2026 22:43:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact451

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis Perc...] [2008-02-26 14:01:37] [18a9c7462de321e50920adc850709d38] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
161.79
161.79
161.85
161.77
161.86
161.89
161.89
161.89
162.18
162.43
162.58
162.57
162.57
162.57
162.44
162.79
163.15
163.23
163.23
163.23
163.38
163.71
163.73
163.73
163.73
163.73
163.93
164.27
164.57
164.73
164.73
164.76
165.75
165.86
165.99
166.13
166.13
166.13
166.15
166.45
166.48
166.51
166.51
166.51
166.58
166.82
167.35
167.5
167.5
167.6
167.72
167.29
166.98
166.98
166.98
166.98
167.63
167.83
167.85
167.87
167.87
167.96
167.7
169.25
168.79
168.77
168.77
169
168.92
169.23
169.28
169.29

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9138&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9138&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9138&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01161.7767109198370.0188474556802373
0.02161.7882535218620.0235638778107744
0.03161.8032056862920.0336468829956981
0.04161.8212773968730.045396309023904
0.05161.8429239779330.0600514179975396
0.06161.8691781924230.0815165178105666
0.07161.9016188562570.112005721561989
0.08161.9419709070510.149761627287648
0.09161.9914008907920.190034962447813
0.1162.0499190144380.226985761610883
0.11162.1162139323810.255504396603110
0.12162.1879770294020.273012310889483
0.13162.2625426358280.280222155132791
0.14162.3375731477610.280328157484596
0.15162.4115520782020.277870887365535
0.16162.4839624514960.277759051065599
0.17162.5551580180300.282899942935852
0.18162.6260298541630.293771332966318
0.19162.6976083861480.309629133315246
0.2162.7707251127400.327322076889594
0.21162.8458099767050.344418724032589
0.22162.9228438442400.358694174083786
0.23163.0014399385990.369199141708693
0.24163.0810030547690.375599858670167
0.25163.1609115414690.378674635901594
0.26163.2406785567430.379977377130513
0.27163.3200674742390.380806644495304
0.28163.3991537866590.383243762367667
0.29163.4783376947270.388764631324495
0.3163.5583167229530.39899395982576
0.31163.6400279277280.415542999559195
0.32163.7245674763730.438243925185615
0.33163.8130940239880.467825412654069
0.34163.9067224448230.503302947462212
0.35164.0064157184510.543253522071516
0.36164.1128840028360.58662211397828
0.37164.2265001032560.630595462029801
0.38164.3472392713020.672926572243088
0.39164.4746488674360.71128080094488
0.4164.6078506077370.743484447947587
0.41164.7455755196890.767310087276126
0.42164.8862295762790.78120911293086
0.43165.0279860666030.784474190491476
0.44165.1688987429350.775959575924083
0.45165.3070275070640.756422087607873
0.46165.4405661433010.726730034891027
0.47165.5679600570150.688500553313195
0.48165.6880019438860.643952477019666
0.49165.7998953319450.595796480475224
0.5165.9032799550940.546209491318028
0.51165.9982182183730.498255756073958
0.52166.0851474249550.453542011283562
0.53166.1648067097080.41380737532223
0.54166.2381498779510.380379402144298
0.55166.306255324540.353405008604995
0.56166.3702423048970.332910486361167
0.57166.4311998772900.318515449565553
0.58166.4901317483540.309441487444368
0.59166.5479177023960.305072557815175
0.6166.6052905399040.304005371031202
0.61166.6628263838730.305693420413827
0.62166.7209455598870.308753663373831
0.63166.7799208171450.312780753292171
0.64166.8398894538690.316756654256502
0.65166.9008661594720.320256213577672
0.66166.9627543224100.323079439364662
0.67167.0253551986830.324329702512902
0.68167.0883763584790.323972333602216
0.69167.1514425899760.321223366351794
0.7167.2141132476520.316120923155895
0.71167.2759094845290.308136637673855
0.72167.3363530534170.297565384822837
0.73167.3950161190930.284558685444055
0.74167.4515797702780.269742383992033
0.75167.5058983450010.254278589275941
0.76167.5580671078670.239135542657094
0.77167.6084909243220.225771970168774
0.78167.6579492371720.216088810965525
0.79167.7076460229310.211962184101784
0.8167.7592226293410.215526410188946
0.81167.8147002350030.228666241558866
0.82167.8763149739460.252254369322801
0.83167.9462224253240.285213505398146
0.84168.0260859424810.324226556784887
0.85168.1166216275210.363713644775735
0.86168.2172322404890.396982685718816
0.87168.3258892807850.417415922527722
0.88168.4393818067130.420542675497837
0.89168.5539285468260.405317778381193
0.9168.6659768089260.374706586086423
0.91168.7728679332740.335256456210711
0.92168.8730391386310.294030944291369
0.93168.9656244122470.255491221178479
0.94169.0496717062810.218976204924944
0.95169.1235196886580.180502688410027
0.96169.1848961284300.137063200088796
0.97169.2318457767670.0912255773866833
0.98169.2638739998750.0501596879350116
0.99169.2823560519270.0215641205546007

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 161.776710919837 & 0.0188474556802373 \tabularnewline
0.02 & 161.788253521862 & 0.0235638778107744 \tabularnewline
0.03 & 161.803205686292 & 0.0336468829956981 \tabularnewline
0.04 & 161.821277396873 & 0.045396309023904 \tabularnewline
0.05 & 161.842923977933 & 0.0600514179975396 \tabularnewline
0.06 & 161.869178192423 & 0.0815165178105666 \tabularnewline
0.07 & 161.901618856257 & 0.112005721561989 \tabularnewline
0.08 & 161.941970907051 & 0.149761627287648 \tabularnewline
0.09 & 161.991400890792 & 0.190034962447813 \tabularnewline
0.1 & 162.049919014438 & 0.226985761610883 \tabularnewline
0.11 & 162.116213932381 & 0.255504396603110 \tabularnewline
0.12 & 162.187977029402 & 0.273012310889483 \tabularnewline
0.13 & 162.262542635828 & 0.280222155132791 \tabularnewline
0.14 & 162.337573147761 & 0.280328157484596 \tabularnewline
0.15 & 162.411552078202 & 0.277870887365535 \tabularnewline
0.16 & 162.483962451496 & 0.277759051065599 \tabularnewline
0.17 & 162.555158018030 & 0.282899942935852 \tabularnewline
0.18 & 162.626029854163 & 0.293771332966318 \tabularnewline
0.19 & 162.697608386148 & 0.309629133315246 \tabularnewline
0.2 & 162.770725112740 & 0.327322076889594 \tabularnewline
0.21 & 162.845809976705 & 0.344418724032589 \tabularnewline
0.22 & 162.922843844240 & 0.358694174083786 \tabularnewline
0.23 & 163.001439938599 & 0.369199141708693 \tabularnewline
0.24 & 163.081003054769 & 0.375599858670167 \tabularnewline
0.25 & 163.160911541469 & 0.378674635901594 \tabularnewline
0.26 & 163.240678556743 & 0.379977377130513 \tabularnewline
0.27 & 163.320067474239 & 0.380806644495304 \tabularnewline
0.28 & 163.399153786659 & 0.383243762367667 \tabularnewline
0.29 & 163.478337694727 & 0.388764631324495 \tabularnewline
0.3 & 163.558316722953 & 0.39899395982576 \tabularnewline
0.31 & 163.640027927728 & 0.415542999559195 \tabularnewline
0.32 & 163.724567476373 & 0.438243925185615 \tabularnewline
0.33 & 163.813094023988 & 0.467825412654069 \tabularnewline
0.34 & 163.906722444823 & 0.503302947462212 \tabularnewline
0.35 & 164.006415718451 & 0.543253522071516 \tabularnewline
0.36 & 164.112884002836 & 0.58662211397828 \tabularnewline
0.37 & 164.226500103256 & 0.630595462029801 \tabularnewline
0.38 & 164.347239271302 & 0.672926572243088 \tabularnewline
0.39 & 164.474648867436 & 0.71128080094488 \tabularnewline
0.4 & 164.607850607737 & 0.743484447947587 \tabularnewline
0.41 & 164.745575519689 & 0.767310087276126 \tabularnewline
0.42 & 164.886229576279 & 0.78120911293086 \tabularnewline
0.43 & 165.027986066603 & 0.784474190491476 \tabularnewline
0.44 & 165.168898742935 & 0.775959575924083 \tabularnewline
0.45 & 165.307027507064 & 0.756422087607873 \tabularnewline
0.46 & 165.440566143301 & 0.726730034891027 \tabularnewline
0.47 & 165.567960057015 & 0.688500553313195 \tabularnewline
0.48 & 165.688001943886 & 0.643952477019666 \tabularnewline
0.49 & 165.799895331945 & 0.595796480475224 \tabularnewline
0.5 & 165.903279955094 & 0.546209491318028 \tabularnewline
0.51 & 165.998218218373 & 0.498255756073958 \tabularnewline
0.52 & 166.085147424955 & 0.453542011283562 \tabularnewline
0.53 & 166.164806709708 & 0.41380737532223 \tabularnewline
0.54 & 166.238149877951 & 0.380379402144298 \tabularnewline
0.55 & 166.30625532454 & 0.353405008604995 \tabularnewline
0.56 & 166.370242304897 & 0.332910486361167 \tabularnewline
0.57 & 166.431199877290 & 0.318515449565553 \tabularnewline
0.58 & 166.490131748354 & 0.309441487444368 \tabularnewline
0.59 & 166.547917702396 & 0.305072557815175 \tabularnewline
0.6 & 166.605290539904 & 0.304005371031202 \tabularnewline
0.61 & 166.662826383873 & 0.305693420413827 \tabularnewline
0.62 & 166.720945559887 & 0.308753663373831 \tabularnewline
0.63 & 166.779920817145 & 0.312780753292171 \tabularnewline
0.64 & 166.839889453869 & 0.316756654256502 \tabularnewline
0.65 & 166.900866159472 & 0.320256213577672 \tabularnewline
0.66 & 166.962754322410 & 0.323079439364662 \tabularnewline
0.67 & 167.025355198683 & 0.324329702512902 \tabularnewline
0.68 & 167.088376358479 & 0.323972333602216 \tabularnewline
0.69 & 167.151442589976 & 0.321223366351794 \tabularnewline
0.7 & 167.214113247652 & 0.316120923155895 \tabularnewline
0.71 & 167.275909484529 & 0.308136637673855 \tabularnewline
0.72 & 167.336353053417 & 0.297565384822837 \tabularnewline
0.73 & 167.395016119093 & 0.284558685444055 \tabularnewline
0.74 & 167.451579770278 & 0.269742383992033 \tabularnewline
0.75 & 167.505898345001 & 0.254278589275941 \tabularnewline
0.76 & 167.558067107867 & 0.239135542657094 \tabularnewline
0.77 & 167.608490924322 & 0.225771970168774 \tabularnewline
0.78 & 167.657949237172 & 0.216088810965525 \tabularnewline
0.79 & 167.707646022931 & 0.211962184101784 \tabularnewline
0.8 & 167.759222629341 & 0.215526410188946 \tabularnewline
0.81 & 167.814700235003 & 0.228666241558866 \tabularnewline
0.82 & 167.876314973946 & 0.252254369322801 \tabularnewline
0.83 & 167.946222425324 & 0.285213505398146 \tabularnewline
0.84 & 168.026085942481 & 0.324226556784887 \tabularnewline
0.85 & 168.116621627521 & 0.363713644775735 \tabularnewline
0.86 & 168.217232240489 & 0.396982685718816 \tabularnewline
0.87 & 168.325889280785 & 0.417415922527722 \tabularnewline
0.88 & 168.439381806713 & 0.420542675497837 \tabularnewline
0.89 & 168.553928546826 & 0.405317778381193 \tabularnewline
0.9 & 168.665976808926 & 0.374706586086423 \tabularnewline
0.91 & 168.772867933274 & 0.335256456210711 \tabularnewline
0.92 & 168.873039138631 & 0.294030944291369 \tabularnewline
0.93 & 168.965624412247 & 0.255491221178479 \tabularnewline
0.94 & 169.049671706281 & 0.218976204924944 \tabularnewline
0.95 & 169.123519688658 & 0.180502688410027 \tabularnewline
0.96 & 169.184896128430 & 0.137063200088796 \tabularnewline
0.97 & 169.231845776767 & 0.0912255773866833 \tabularnewline
0.98 & 169.263873999875 & 0.0501596879350116 \tabularnewline
0.99 & 169.282356051927 & 0.0215641205546007 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9138&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]161.776710919837[/C][C]0.0188474556802373[/C][/ROW]
[ROW][C]0.02[/C][C]161.788253521862[/C][C]0.0235638778107744[/C][/ROW]
[ROW][C]0.03[/C][C]161.803205686292[/C][C]0.0336468829956981[/C][/ROW]
[ROW][C]0.04[/C][C]161.821277396873[/C][C]0.045396309023904[/C][/ROW]
[ROW][C]0.05[/C][C]161.842923977933[/C][C]0.0600514179975396[/C][/ROW]
[ROW][C]0.06[/C][C]161.869178192423[/C][C]0.0815165178105666[/C][/ROW]
[ROW][C]0.07[/C][C]161.901618856257[/C][C]0.112005721561989[/C][/ROW]
[ROW][C]0.08[/C][C]161.941970907051[/C][C]0.149761627287648[/C][/ROW]
[ROW][C]0.09[/C][C]161.991400890792[/C][C]0.190034962447813[/C][/ROW]
[ROW][C]0.1[/C][C]162.049919014438[/C][C]0.226985761610883[/C][/ROW]
[ROW][C]0.11[/C][C]162.116213932381[/C][C]0.255504396603110[/C][/ROW]
[ROW][C]0.12[/C][C]162.187977029402[/C][C]0.273012310889483[/C][/ROW]
[ROW][C]0.13[/C][C]162.262542635828[/C][C]0.280222155132791[/C][/ROW]
[ROW][C]0.14[/C][C]162.337573147761[/C][C]0.280328157484596[/C][/ROW]
[ROW][C]0.15[/C][C]162.411552078202[/C][C]0.277870887365535[/C][/ROW]
[ROW][C]0.16[/C][C]162.483962451496[/C][C]0.277759051065599[/C][/ROW]
[ROW][C]0.17[/C][C]162.555158018030[/C][C]0.282899942935852[/C][/ROW]
[ROW][C]0.18[/C][C]162.626029854163[/C][C]0.293771332966318[/C][/ROW]
[ROW][C]0.19[/C][C]162.697608386148[/C][C]0.309629133315246[/C][/ROW]
[ROW][C]0.2[/C][C]162.770725112740[/C][C]0.327322076889594[/C][/ROW]
[ROW][C]0.21[/C][C]162.845809976705[/C][C]0.344418724032589[/C][/ROW]
[ROW][C]0.22[/C][C]162.922843844240[/C][C]0.358694174083786[/C][/ROW]
[ROW][C]0.23[/C][C]163.001439938599[/C][C]0.369199141708693[/C][/ROW]
[ROW][C]0.24[/C][C]163.081003054769[/C][C]0.375599858670167[/C][/ROW]
[ROW][C]0.25[/C][C]163.160911541469[/C][C]0.378674635901594[/C][/ROW]
[ROW][C]0.26[/C][C]163.240678556743[/C][C]0.379977377130513[/C][/ROW]
[ROW][C]0.27[/C][C]163.320067474239[/C][C]0.380806644495304[/C][/ROW]
[ROW][C]0.28[/C][C]163.399153786659[/C][C]0.383243762367667[/C][/ROW]
[ROW][C]0.29[/C][C]163.478337694727[/C][C]0.388764631324495[/C][/ROW]
[ROW][C]0.3[/C][C]163.558316722953[/C][C]0.39899395982576[/C][/ROW]
[ROW][C]0.31[/C][C]163.640027927728[/C][C]0.415542999559195[/C][/ROW]
[ROW][C]0.32[/C][C]163.724567476373[/C][C]0.438243925185615[/C][/ROW]
[ROW][C]0.33[/C][C]163.813094023988[/C][C]0.467825412654069[/C][/ROW]
[ROW][C]0.34[/C][C]163.906722444823[/C][C]0.503302947462212[/C][/ROW]
[ROW][C]0.35[/C][C]164.006415718451[/C][C]0.543253522071516[/C][/ROW]
[ROW][C]0.36[/C][C]164.112884002836[/C][C]0.58662211397828[/C][/ROW]
[ROW][C]0.37[/C][C]164.226500103256[/C][C]0.630595462029801[/C][/ROW]
[ROW][C]0.38[/C][C]164.347239271302[/C][C]0.672926572243088[/C][/ROW]
[ROW][C]0.39[/C][C]164.474648867436[/C][C]0.71128080094488[/C][/ROW]
[ROW][C]0.4[/C][C]164.607850607737[/C][C]0.743484447947587[/C][/ROW]
[ROW][C]0.41[/C][C]164.745575519689[/C][C]0.767310087276126[/C][/ROW]
[ROW][C]0.42[/C][C]164.886229576279[/C][C]0.78120911293086[/C][/ROW]
[ROW][C]0.43[/C][C]165.027986066603[/C][C]0.784474190491476[/C][/ROW]
[ROW][C]0.44[/C][C]165.168898742935[/C][C]0.775959575924083[/C][/ROW]
[ROW][C]0.45[/C][C]165.307027507064[/C][C]0.756422087607873[/C][/ROW]
[ROW][C]0.46[/C][C]165.440566143301[/C][C]0.726730034891027[/C][/ROW]
[ROW][C]0.47[/C][C]165.567960057015[/C][C]0.688500553313195[/C][/ROW]
[ROW][C]0.48[/C][C]165.688001943886[/C][C]0.643952477019666[/C][/ROW]
[ROW][C]0.49[/C][C]165.799895331945[/C][C]0.595796480475224[/C][/ROW]
[ROW][C]0.5[/C][C]165.903279955094[/C][C]0.546209491318028[/C][/ROW]
[ROW][C]0.51[/C][C]165.998218218373[/C][C]0.498255756073958[/C][/ROW]
[ROW][C]0.52[/C][C]166.085147424955[/C][C]0.453542011283562[/C][/ROW]
[ROW][C]0.53[/C][C]166.164806709708[/C][C]0.41380737532223[/C][/ROW]
[ROW][C]0.54[/C][C]166.238149877951[/C][C]0.380379402144298[/C][/ROW]
[ROW][C]0.55[/C][C]166.30625532454[/C][C]0.353405008604995[/C][/ROW]
[ROW][C]0.56[/C][C]166.370242304897[/C][C]0.332910486361167[/C][/ROW]
[ROW][C]0.57[/C][C]166.431199877290[/C][C]0.318515449565553[/C][/ROW]
[ROW][C]0.58[/C][C]166.490131748354[/C][C]0.309441487444368[/C][/ROW]
[ROW][C]0.59[/C][C]166.547917702396[/C][C]0.305072557815175[/C][/ROW]
[ROW][C]0.6[/C][C]166.605290539904[/C][C]0.304005371031202[/C][/ROW]
[ROW][C]0.61[/C][C]166.662826383873[/C][C]0.305693420413827[/C][/ROW]
[ROW][C]0.62[/C][C]166.720945559887[/C][C]0.308753663373831[/C][/ROW]
[ROW][C]0.63[/C][C]166.779920817145[/C][C]0.312780753292171[/C][/ROW]
[ROW][C]0.64[/C][C]166.839889453869[/C][C]0.316756654256502[/C][/ROW]
[ROW][C]0.65[/C][C]166.900866159472[/C][C]0.320256213577672[/C][/ROW]
[ROW][C]0.66[/C][C]166.962754322410[/C][C]0.323079439364662[/C][/ROW]
[ROW][C]0.67[/C][C]167.025355198683[/C][C]0.324329702512902[/C][/ROW]
[ROW][C]0.68[/C][C]167.088376358479[/C][C]0.323972333602216[/C][/ROW]
[ROW][C]0.69[/C][C]167.151442589976[/C][C]0.321223366351794[/C][/ROW]
[ROW][C]0.7[/C][C]167.214113247652[/C][C]0.316120923155895[/C][/ROW]
[ROW][C]0.71[/C][C]167.275909484529[/C][C]0.308136637673855[/C][/ROW]
[ROW][C]0.72[/C][C]167.336353053417[/C][C]0.297565384822837[/C][/ROW]
[ROW][C]0.73[/C][C]167.395016119093[/C][C]0.284558685444055[/C][/ROW]
[ROW][C]0.74[/C][C]167.451579770278[/C][C]0.269742383992033[/C][/ROW]
[ROW][C]0.75[/C][C]167.505898345001[/C][C]0.254278589275941[/C][/ROW]
[ROW][C]0.76[/C][C]167.558067107867[/C][C]0.239135542657094[/C][/ROW]
[ROW][C]0.77[/C][C]167.608490924322[/C][C]0.225771970168774[/C][/ROW]
[ROW][C]0.78[/C][C]167.657949237172[/C][C]0.216088810965525[/C][/ROW]
[ROW][C]0.79[/C][C]167.707646022931[/C][C]0.211962184101784[/C][/ROW]
[ROW][C]0.8[/C][C]167.759222629341[/C][C]0.215526410188946[/C][/ROW]
[ROW][C]0.81[/C][C]167.814700235003[/C][C]0.228666241558866[/C][/ROW]
[ROW][C]0.82[/C][C]167.876314973946[/C][C]0.252254369322801[/C][/ROW]
[ROW][C]0.83[/C][C]167.946222425324[/C][C]0.285213505398146[/C][/ROW]
[ROW][C]0.84[/C][C]168.026085942481[/C][C]0.324226556784887[/C][/ROW]
[ROW][C]0.85[/C][C]168.116621627521[/C][C]0.363713644775735[/C][/ROW]
[ROW][C]0.86[/C][C]168.217232240489[/C][C]0.396982685718816[/C][/ROW]
[ROW][C]0.87[/C][C]168.325889280785[/C][C]0.417415922527722[/C][/ROW]
[ROW][C]0.88[/C][C]168.439381806713[/C][C]0.420542675497837[/C][/ROW]
[ROW][C]0.89[/C][C]168.553928546826[/C][C]0.405317778381193[/C][/ROW]
[ROW][C]0.9[/C][C]168.665976808926[/C][C]0.374706586086423[/C][/ROW]
[ROW][C]0.91[/C][C]168.772867933274[/C][C]0.335256456210711[/C][/ROW]
[ROW][C]0.92[/C][C]168.873039138631[/C][C]0.294030944291369[/C][/ROW]
[ROW][C]0.93[/C][C]168.965624412247[/C][C]0.255491221178479[/C][/ROW]
[ROW][C]0.94[/C][C]169.049671706281[/C][C]0.218976204924944[/C][/ROW]
[ROW][C]0.95[/C][C]169.123519688658[/C][C]0.180502688410027[/C][/ROW]
[ROW][C]0.96[/C][C]169.184896128430[/C][C]0.137063200088796[/C][/ROW]
[ROW][C]0.97[/C][C]169.231845776767[/C][C]0.0912255773866833[/C][/ROW]
[ROW][C]0.98[/C][C]169.263873999875[/C][C]0.0501596879350116[/C][/ROW]
[ROW][C]0.99[/C][C]169.282356051927[/C][C]0.0215641205546007[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9138&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9138&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01161.7767109198370.0188474556802373
0.02161.7882535218620.0235638778107744
0.03161.8032056862920.0336468829956981
0.04161.8212773968730.045396309023904
0.05161.8429239779330.0600514179975396
0.06161.8691781924230.0815165178105666
0.07161.9016188562570.112005721561989
0.08161.9419709070510.149761627287648
0.09161.9914008907920.190034962447813
0.1162.0499190144380.226985761610883
0.11162.1162139323810.255504396603110
0.12162.1879770294020.273012310889483
0.13162.2625426358280.280222155132791
0.14162.3375731477610.280328157484596
0.15162.4115520782020.277870887365535
0.16162.4839624514960.277759051065599
0.17162.5551580180300.282899942935852
0.18162.6260298541630.293771332966318
0.19162.6976083861480.309629133315246
0.2162.7707251127400.327322076889594
0.21162.8458099767050.344418724032589
0.22162.9228438442400.358694174083786
0.23163.0014399385990.369199141708693
0.24163.0810030547690.375599858670167
0.25163.1609115414690.378674635901594
0.26163.2406785567430.379977377130513
0.27163.3200674742390.380806644495304
0.28163.3991537866590.383243762367667
0.29163.4783376947270.388764631324495
0.3163.5583167229530.39899395982576
0.31163.6400279277280.415542999559195
0.32163.7245674763730.438243925185615
0.33163.8130940239880.467825412654069
0.34163.9067224448230.503302947462212
0.35164.0064157184510.543253522071516
0.36164.1128840028360.58662211397828
0.37164.2265001032560.630595462029801
0.38164.3472392713020.672926572243088
0.39164.4746488674360.71128080094488
0.4164.6078506077370.743484447947587
0.41164.7455755196890.767310087276126
0.42164.8862295762790.78120911293086
0.43165.0279860666030.784474190491476
0.44165.1688987429350.775959575924083
0.45165.3070275070640.756422087607873
0.46165.4405661433010.726730034891027
0.47165.5679600570150.688500553313195
0.48165.6880019438860.643952477019666
0.49165.7998953319450.595796480475224
0.5165.9032799550940.546209491318028
0.51165.9982182183730.498255756073958
0.52166.0851474249550.453542011283562
0.53166.1648067097080.41380737532223
0.54166.2381498779510.380379402144298
0.55166.306255324540.353405008604995
0.56166.3702423048970.332910486361167
0.57166.4311998772900.318515449565553
0.58166.4901317483540.309441487444368
0.59166.5479177023960.305072557815175
0.6166.6052905399040.304005371031202
0.61166.6628263838730.305693420413827
0.62166.7209455598870.308753663373831
0.63166.7799208171450.312780753292171
0.64166.8398894538690.316756654256502
0.65166.9008661594720.320256213577672
0.66166.9627543224100.323079439364662
0.67167.0253551986830.324329702512902
0.68167.0883763584790.323972333602216
0.69167.1514425899760.321223366351794
0.7167.2141132476520.316120923155895
0.71167.2759094845290.308136637673855
0.72167.3363530534170.297565384822837
0.73167.3950161190930.284558685444055
0.74167.4515797702780.269742383992033
0.75167.5058983450010.254278589275941
0.76167.5580671078670.239135542657094
0.77167.6084909243220.225771970168774
0.78167.6579492371720.216088810965525
0.79167.7076460229310.211962184101784
0.8167.7592226293410.215526410188946
0.81167.8147002350030.228666241558866
0.82167.8763149739460.252254369322801
0.83167.9462224253240.285213505398146
0.84168.0260859424810.324226556784887
0.85168.1166216275210.363713644775735
0.86168.2172322404890.396982685718816
0.87168.3258892807850.417415922527722
0.88168.4393818067130.420542675497837
0.89168.5539285468260.405317778381193
0.9168.6659768089260.374706586086423
0.91168.7728679332740.335256456210711
0.92168.8730391386310.294030944291369
0.93168.9656244122470.255491221178479
0.94169.0496717062810.218976204924944
0.95169.1235196886580.180502688410027
0.96169.1848961284300.137063200088796
0.97169.2318457767670.0912255773866833
0.98169.2638739998750.0501596879350116
0.99169.2823560519270.0215641205546007


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')